Manager, Business Process Automation - GenAI Development

As a Manager, you will be accountable for the performance and results of a team of professional contributors.

Your Role and Responsibilities:

• Leading the delivery of AI-based solutions within the Nasdaq’s Corporate Finance organization to enhance decision-making and drive operational efficiency.
• Leading all aspects of the development and implementation of Generative AI solutions and traditional automations, ensuring the highest standards of quality, performance, and reliability!
• Providing full supervisory responsibilities for your team, including hiring, compensation, motivation, and professional development.
• Receiving assignments in the form of objectives and resolving how to best use resources to meet schedules and goals!
• Collaborating with senior customers to collect user requirements, define project scope, and participate in design iterations to improve usability.
• Developing and maintaining process documentation, flowcharts, layouts, and diagrams to ensure clarity and alignment.
• Guiding the collection, preprocessing, and curation of datasets for training generative AI models.
• Leading design and quality assurance reviews, contributing to the team's adoption of best practices, and ensuring high code standards through peer code reviews.
• Managing risks of quality and timeliness, with a clear understanding of potential cost impacts.
• Ensuring maximum uptime of automated solutions by troubleshooting, resolving complex issues, and guiding the team on resolutions.

We expect you to have:

• 5 to 8 years experience in managing a team of technical professionals.
• A strong understanding of Generative AI concepts, including Large Language Models (LLMs), RAG, vectorization, and their real-world applications.
• Shown ability to communicate sophisticated information conciselpatientlytfully to customers and senior leadership.
• In-depth knowledge and capabilities in your field with a basic knowledge of related fields.
• Experience with RPA, web-scraping, and LLM fine-tuning is a strong plus.
• Strong proficiency in Python, with a solid understanding of its ecosystem and best practices.
• Prior experience working with finance-related processes, financial data, or supporting finance organizations is highly valued.
• Superior time and project management skills, with the ability to allocate work and manage resources effectively.
• Excellent problem-solving skills, with the ability to resolve complex problems where precedent may not exist.
• Experience with agile software development methodologies.

• What do we offer you?   

• Annual monetary bonus.

• An opportunity to become a Nasdaq shareholder  

• Employee Stock Purchase Program Nasdaq stocks with a discount  

• Health Insurance Program

• Flexible working schedule and hybrid way of work  

• Flex day program (up to 6 paid days off a year) in addition to standard vacations and holidays  

• Internal mentorship program – get a mentor or become one  

• Wide selection of online learning resources, e.g., Udemy  

It would be great if you bring:

• Education: Bachelor's degree in Data Science, Computer Science, Mathematics, or a Finance-related field with AI/Automation experience..
• Experience development with Python, utilizing LLMs and RAG, and direct people management.
• Experience working within finance organizations or developing solutions for finance-related processes is preferred.

Come as You Are

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.